matlab基于Harris角点的图像匹配的代码

下面是基于Harris角点的图像匹配的Matlab代码：

% 读入图像
img1 = imread('image1.jpg');
img2 = imread('image2.jpg');

% 转换为灰度图像
img1_gray = rgb2gray(img1);
img2_gray = rgb2gray(img2);

% Harris角点检测
points1 = detectHarrisFeatures(img1_gray);
points2 = detectHarrisFeatures(img2_gray);

% 提取特征描述符
[features1, valid_points1] = extractFeatures(img1_gray, points1);
[features2, valid_points2] = extractFeatures(img2_gray, points2);

% 特征匹配
indexPairs = matchFeatures(features1, features2);

% 选取匹配点对
matchedPoints1 = valid_points1(indexPairs(:, 1), :);
matchedPoints2 = valid_points2(indexPairs(:, 2), :);

% 可视化匹配结果
figure;
showMatchedFeatures(img1, img2, matchedPoints1, matchedPoints2, 'montage');
title('Matched Points');

其中，`detectHarrisFeatures`函数用于进行Harris角点检测，`extractFeatures`函数用于提取特征描述符，`matchFeatures`函数用于进行特征匹配。最后，使用`showMatchedFeatures`函数可视化匹配结果。